Scanning world wide web documents with the vector space model

Authors:
Cheryl Aasheim;Gary J. Koehler
Affiliations:
Department of Information Technology, Georgia Southern University, Statesboro, GA;Department of Decision and Information Sciences, Warrington College of Business Administration, University of Florida, Gainesville, FL
Venue:
Decision Support Systems
Year:
2006

Citing 16
Cited 5

Automatic text processing

Automatic text processing
Information retrieval: data structures and algorithms

Information retrieval: data structures and algorithms
C4.5: programs for machine learning

C4.5: programs for machine learning
Towards language independent automated learning of text categorization models

SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Fundamentals of neural networks: architectures, algorithms, and applications

Fundamentals of neural networks: architectures, algorithms, and applications
The nature of statistical learning theory

The nature of statistical learning theory
Support-Vector Networks

Machine Learning
Training algorithms for linear text classifiers

SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive learning methods for text categorization

SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Information management for the intelligent organization (2nd ed.): the art of scanning the environment

Information management for the intelligent organization (2nd ed.): the art of scanning the environment
Partitioning-based clustering for Web document categorization

Decision Support Systems - Special issue on WITS '97
Language models for financial news recommendation

Proceedings of the ninth international conference on Information and knowledge management
CONSTRUE/TIS: A System for Content-Based Indexing of a Database of News Stories

IAAI '90 Proceedings of the The Second Conference on Innovative Applications of Artificial Intelligence
Forecasting Intraday Stock Price Trends with Text Mining Techniques

HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 3 - Volume 3
Event detection from online news documents for supporting environmental scanning

Decision Support Systems - Special issue: Knowledge management technique
Automatic Information Organization and Retrieval.

Automatic Information Organization and Retrieval.

Improving customer complaint management by automatic email classification using linguistic style features as predictors

Decision Support Systems
An investigation of Zipf's Law for fraud detection (DSS#06-10-1826R(2))

Decision Support Systems
Making words work: Using financial text as a predictor of financial events

Decision Support Systems
Textual data mining for industrial knowledge management and text classification: A business oriented approach

Expert Systems with Applications: An International Journal
More applicable environmental scanning systems leveraging "modern" information systems

Information Systems and e-Business Management

Quantified Score

Hi-index	0.00

Visualization

Abstract

The vector space model used in Information Retrieval is combined with discriminant analysis to provide an automated WWW environment scanning system to detect signals of interest to an organization. The vector space model converts text-based information to numerical vectors that are then used in discriminant analysis. We illustrate the methodology using news articles pertaining to a predefined randomly selected set of stocks to test whether they provide predictive signals on whether the stock's return will increase or decrease relative to the market in the target period following the report or whether the stock's trading volume will increase or decrease.